SymPy (@sympy) 's Twitter Profile
SymPy

@sympy

Computer algebra system in Python. This is the official account for SymPy.

ID: 637366258

linkhttp://sympy.org/ calendar_today16-07-2012 23:09:54

610 Tweet

4,4K Takipçi

96 Takip Edilen

SymPy (@sympy) 's Twitter Profile Photo

Please fill out our survey about code generation in SymPy to help us understand what areas we should focus on improving as part of our work for our CZI Science grant. forms.gle/F5Ek6yQkH5fXPN…

Yann Le Du (@yann_le_du) 's Twitter Profile Photo

From a LaTeX formula to optimized code : with SymPy , I found it was possible to automatically go from a LaTeX formatted equation through a numpy function to a JAX jit optimized function that runs 300x faster on GPU than the numpy version on CPU! Made my night & day!

From a LaTeX formula to optimized code : with <a href="/SymPy/">SymPy</a> , I found it was possible to automatically go from a LaTeX formatted equation through a numpy function to a JAX jit optimized function that runs 300x faster on GPU than the numpy version on CPU! Made my night &amp; day!
Scientific Python (@scipytip) 's Twitter Profile Photo

>>> from sympy import factorint >>> factorint(20221124) {2: 2, 7: 2, 11: 1, 83: 1, 113: 1} >>> factorint(11242022) {2: 1, 11: 1, 511001: 1}

Raymond Hettinger (@raymondh) 's Twitter Profile Photo

#Python and #SymPy code for Matthew's discovery: >>> from sympy import symbols, factorial, limit, oo, N >>> n = symbols('n') >>> f = lambda n: factorial(n) / (n+1) ** n >>> limit(f(n) / f(n+1), n, oo) E >>> N(_) 2.71828182845905 (3 of 2) ;-)

Javier Boncompte G. (@jiboncom) 's Twitter Profile Photo

¡¡Wow!! Gracias a @Sympy logré una mejora de x2500 (sí, no es typo) en el tiempo de ejecución de una función. De paso, uno se da cuenta de la diferencia de velocidad entre Python y C nativo. PS: No programe en C, Sympy hizo la transformación "automáticamente" por mí.

¡¡Wow!! Gracias a @Sympy logré una mejora de x2500 (sí, no es typo) en el tiempo de ejecución de una función. 

De paso, uno se da cuenta de la diferencia de velocidad entre Python y C nativo. 

PS: No programe en C, Sympy hizo la transformación "automáticamente" por mí.
Raymond Hettinger (@raymondh) 's Twitter Profile Photo

Christian 🇵🇬 And so on and so on @Hansen73337824 The maximum occurs where the derivative is zero. #SymPy code: >>> from sympy import symbols, diff, log, solveset >>> c = symbols('c') >>> diff(c ** (1 / c), c) c**(1/c)*(-log(c)/c**2 + c**(-2)) >>> solveset(-log(c)/c**2 + c**(-2), c) {E}

William Stein (@wstein389) 's Twitter Profile Photo

I integrated ChatGPT into cocalc.com as a chatbot (though much more is to come). You can just do @ and select chatgpt when chatting anywhere in cocalc (doc.cocalc.com/chat.html) and it responds. Here's an example of it knowing #sympy.

I integrated ChatGPT into cocalc.com as a chatbot (though much more is to come).  You can just do @ and select chatgpt when chatting anywhere in cocalc (doc.cocalc.com/chat.html) and it responds.  Here's an example of it knowing #sympy.
Ondřej Čertík (@ondrejcertik) 's Twitter Profile Photo

I noticed OpenAI uses SymPy in their "Code interpreter" demo at their ChatGPT plugins webpage (openai.com/blog/chatgpt-p…). I am very happy to see SymPy being used by default like this.

I noticed <a href="/OpenAI/">OpenAI</a> uses <a href="/SymPy/">SymPy</a> in their "Code interpreter" demo at their ChatGPT plugins webpage (openai.com/blog/chatgpt-p…). I am very happy to see SymPy being used by default like this.
SymPy (@sympy) 's Twitter Profile Photo

"Use Gröbner Bases To Solve Polynomial Equations" by Jingnan Shi Mice blog post showing how Gröbner Bases work using SymPy. jingnanshi.com/blog/groebner_…

Quansight (@quansightai) 's Twitter Profile Photo

Tutorials SciPyConf are in full swing! Ever want to do algebra, calculus, or advanced differential equations directly in Python? Check out the “SymPy Introductory Tutorial” co-led by our Aaron Meurer to learn the basics of SymPy. cfp.scipy.org/2023/talk/LJQP…

Tutorials <a href="/SciPyConf/">SciPyConf</a> are in full swing!  Ever want to do algebra, calculus, or advanced differential equations directly in Python? Check out the “SymPy Introductory Tutorial” co-led by our <a href="/asmeurer/">Aaron Meurer</a> to learn the basics of <a href="/SymPy/">SymPy</a>.
cfp.scipy.org/2023/talk/LJQP…
Aaron Meurer (@asmeurer) 's Twitter Profile Photo

I made a SymPy GPT to play around with this. Unlike normal ChatGPT it has direct access to the latest version of SymPy (1.12) and its docs. It also tries to actually execute code whenever it can. chat.openai.com/g/g-AePkBhsFf-…

Aaron Meurer (@asmeurer) 's Twitter Profile Photo

Cool to see @openai demo solving a @sympy issue (from SWE-bench) in their o3 demo today. At a glance the AI's fix looks correct (though not quite as straightforward as the true fix that was made).

Cool to see @openai demo solving a @sympy issue (from SWE-bench) in their o3 demo today. At a glance the AI's fix looks correct (though not quite as straightforward as the true fix that was made).
Ondřej Čertík (@ondrejcertik) 's Twitter Profile Photo

It used SymPy, not NumPy. When I started SymPy almost 20 years ago, my university classmates were telling me that it could never match Mathematica, so what's the point? And now the most popular (?) LLM uses SymPy by default. That's amazing!